Box, tag, attribute, metadata
Image annotation
Scope image annotation before visual labels are applied.
Label images with a clear taxonomy, examples, edge-case rules, and output format before work begins.
Format confirmed before work starts
For text-in-image or locale review
For annotation work, scope starts with label definitions, examples, review samples, and output schema. Language review is added when meaning, dialect, script, or audio context affects the label decision.
What this page helps you scope
- Object labels, scene tags, text-in-image review, and metadata enrichment.
- Image sets where labels depend on language, location, or visual context.
- Pilot labeling for new taxonomies and edge cases.
- Output files prepared for model training or internal review.
What you receive
- Annotated image dataset.
- Label guide notes.
- Output file in agreed structure.
Questions teams ask first
Do image labels need examples?
Yes. Examples and edge-case rules help annotators apply the same label meaning across the dataset.
Can text inside images be reviewed?
Yes. Text-in-image review can be scoped when labels depend on language, script, or local context.